Audio-visual representation learning aims to obtain the generalized relationship between different modalities to utilize in several audio-visual downstream tasks, such as audio classification. Most audio-visual representation learning studies [1]}, [2]}, [3]} are designed to map distinct modalities into the same embedding space. The correlation between modalities is learned by audio-visual contrastive learning [4]}, [5]}, [6]}. Contrastive learning allows the positive audio-visual pairs to have more similar representations than the representations of other negative pairs.
